Applied Scientist, Alexa AI

Amazon Science; Torino; In loco; EUR 61.000 - 75.000; Tempo pieno

Descrizione del lavoro

Amazon Science in Turin, Italy is seeking an Applied Scientist to advance and deploy state-of-the-art ML/RAG systems for Alexa. You will apply expertise in ML, NLP, and large language models to create scalable, high-performance products and publish at top conferences.

You will own the full ML lifecycle—from data analysis to production deployment and A/B testing—impactting millions of Alexa users globally. The role spans collaboration with business, engineering, and science teams across Amazon,

Competenze

• Knowledge of statistics or other analytical techniques.
• Experience communicating with a wide range of stakeholders, including leadership.
• PhD, or a Master's degree and experience in Computer Science, Computer Engineering, Machine Learning or related field.
• Experience building machine learning models or developing algorithms for business application.
• Strong proficiency in programming languages such as Python or Java, with deep expertise in machine learning frameworks.
• Experience in any of the following areas: algorithms and data structures, algorithms, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Mansioni

• Analyze and model customer behavior at scale, building metrics for personal digital assistants.
• Develop and deploy deep learning, policy-based learning, and ML algorithms affecting customer experiences.
• Build automated model training and evaluation pipelines and conduct online A/B testing.
• Research novel approaches to push conversational AI boundaries.
• Take ownership of production systems and handle on-call responsibilities.

Conoscenze

Statistics

Stakeholder communication

ML model development

Programming (Python/Java)

Algorithms & data structures

Formazione

PhD or MSc in CS/ML/related

Descrizione del lavoro

Description

As an Applied Scientist in the Alexa AI team, you will spearhead the advancement and deployment of state-of-the-art ML/RAG systems that revolutionize how millions of customers interact with Alexa. You'll leverage your expertise in machine learning, natural language processing, and large language models to create reliable, scalable, high-performance products that set new standards in operational excellence.

As an Applied Scientist in the Alexa AI team, you will spearhead the advancement and deployment of state-of-the-art ML/RAG systems that revolutionize how millions of customers interact with Alexa. You'll leverage your expertise in machine learning, natural language processing, and large language models to create reliable, scalable, high-performance products that set new standards in operational excellence. Working at the intersection of research and production, you'll translate latest AI innovations into customer-facing features that delight users daily. Your work will span the full ML lifecycle: from analyzing customer behavior patterns and building novel metrics for personal digital assistants, to deploying automated training pipelines and conducting rigorous A/B testing across diverse devices and endpoints. Collaborating closely with business, engineering, and science teams across Amazon, you'll lead high-visibility programs that automate workflows and deliver measurable customer impact. This role offers the unique opportunity to publish at top-tier conferences while seeing your innovations scale to one of the world's most popular voice assistants, serving millions of customers globally.

Key job responsibilities

As An Applied Scientist In The Alexa AI Team

You'll analyze and model customer behavior at scale, building novel metrics for personal digital assistants across diverse devices and endpoints. Your work will involve creating deep learning, policy-based learning, and machine learning algorithms that directly impact customer experiences, translating complex data patterns into actionable insights that drive product innovation. Your technical leadership will extend to building and deploying automated model training and evaluation pipelines, implementing complex machine learning and deep learning algorithms, and conducting rigorous model and data analysis through online A/B testing. You'll research and implement novel approaches that push the boundaries of what's possible in conversational AI. Beyond model development, you'll ensure operational excellence by taking ownership of production systems, including on-call responsibilities during peak and non-peak hours. Working alongside Software Development Engineers, you'll deploy fixes and handle high-severity issues, ensuring our ML systems maintain the reliability and performance that millions of Alexa customers depend on daily.

A day in the life

As an Applied Scientist in the Alexa AI team, your day will involve collaborating with talented engineers and scientists to build scalable solutions for our conversational assistant. You'll dive into data analysis, experiment with novel algorithms, and iterate on models based on real-time user feedback. Working in a fast-paced, ambiguous environment, you'll tackle complex technical challenges: from debugging production issues to presenting research findings to stakeholders. Your self-motivated approach will drive you to swiftly deliver impactful solutions while maintaining the high standards that define our mission to revolutionize user experiences for millions of customers.

About The Team

The Alexa AI team develops the intelligence behind one of the world's most popular voice assistants, serving millions of customers globally. We're a diverse group of scientists, engineers, and researchers united by our mission to make Alexa more natural, helpful, and delightful. Our culture thrives on innovation, collaboration, and customer obsession. We tackle some of the most challenging problems in conversational AI; from natural language understanding to personalization at scale. Here, you'll work alongside world-class talent, publish at top-tier conferences, and see your innovations impact customers daily. We move fast, think big, and celebrate both successes and learnings.

Basic Qualifications

• Knowledge of statistics or other analytical techniques
• Experience communicating with a wide range of stakeholders, including colleagues and leadership, or experience managing teams
• PhD, or a Master's degree and experience in Computer Science, Computer Engineering, Machine Learning or related field
• Experience building machine learning models or developing algorithms for business application
• Strong proficiency in programming languages such as Python or Java, with deep expertise in machine learning frameworks
• Experience in any of the following areas: algorithms and data structures, algorithms, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

• Experience in analytical tasks or projects, working with data
• Speak, write, and read fluently in English
• Several years of building machine learning models or developing algorithms for business application experience
• Have publications at top-tier peer-reviewed conferences or journals
• Track record of diving into data to discover hidden patterns and conducting error/deviation analysis
• Exceptional level of organization and strong attention to detail

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn't listed, please contact your Recruiting Partner.

• The minimum gross base salary for this position is listed below.
• The base salary listed corresponds to working on a full-time basis.
• For part-time hours, the salary will be pro-rated.
• Amazon reserves the right to offer a higher salary and/or level, depending on the candidate's skills, competencies, and experience.
• Amazon's package may include a sign on payment.
• In addition, the candidate may be eligible to participate in a restricted stock unit scheme operated independently by Amazon.com Inc. in USA.
• Your recruiting team will share final salary and any restricted stock unit scheme if applicable, depending on skills and requirements.
• In addition to statutory benefits, and those applicable to the relevant CBA, company supplementary benefits may apply subject to further terms.
• See below the minimum gross base salary for this position:
• Turin, ITA - 68,000.00 EUR Annually